ash1(bins, m, kopt)
bins
|
(input list) $nc =integer vector of bin counts and $ab =bin interval
|
m
| (input) optional integer smoothing parameter; default=5. |
kopt
| (input) vector of length 2 specifying the kernel, which is proportional to ( 1 - abs(i/m)^kopt(1) )i^kopt(2); (2,2)=biweight (default); (0,0)=uniform; (1,0)=triangle; (2,1)=Epanechnikov; (2,3)=triweight. |
plot
dd
x=t
| vector of bin center locations |
y=f
| vector of ash estimates |
ier
| 0=normal exit; 1=estimate nonzero outside interval ab |
bin1
x <- rnorm(100) # data f <- ash1(bin1(x,nbin=50),5) # compute ash estimate plot( f , type="l" ) # line plot of estimate